Assoc/Snr Assoc, Agentic AI Engineer, Risk Technology, Risk Management Group

Responsibilities

• Collaborate with business stakeholders to gather, analyze, and refine technical and AI-related requirements .
• Design, develop, and maintain scalable applications, microservices, and APIs .
• Develop and integrate LLM-powered features (e.g., copilots, chatbots, decision-support tools).
• Build backend services using Java, Python, Node.js , and modern frameworks ( FastAPI, Spring Boot ).
• Perform prompt engineering, context engineering, and RAG (retrieval-augmented generation) .
• Build and orchestrate AI agents, Agent Harness, and multi-agent workflows .
• Apply OOP, OOAD principles, and design patterns to deliver robust systems.
• Integrate LLM APIs and manage vector databases and embeddings for semantic search .
• Develop AI evaluation, testing harnesses, and guardrails to ensure performance and reliability .
• Design and optimize SQL databases and work with ORM tools (Hibernate/JPA) .
• Contribute to full-stack development , including UI/UX using JavaScript/TypeScript .
• Manage end-to-end SDLC (Software Development Lifecycle) , including development, testing, deployment, and maintenance.
• Implement and maintain CI/CD pipelines for both application and AI workloads .
• Work in a DevOps environment , supporting automation, monitoring, and scalability .

Requirements

• Bachelor’s degree in Computer Science, Software Engineering , or related field.
• 5+ years of software development experience .
• Strong proficiency in Python ; working knowledge of JavaScript, TypeScript, Java, Kotlin .
• Hands-on experience with FastAPI, Spring Boot , and backend frameworks .
• Experience building RESTful APIs and microservices architectures .
• Experience or exposure to LLMs, prompt engineering, or AI application development .
• Understanding of RAG, embeddings, vector databases, and semantic search .
• Familiarity with AI agent frameworks (LangChain) and Agent Harness concepts .
• Knowledge of AI evaluation, guardrails, and hallucination mitigation techniques .
• Good understanding of backend architecture, distributed systems, OOP, and design patterns .
• Proficiency in SQL, relational databases , and ORM tools (Hibernate, JPA) ; familiarity with NoSQL (MongoDB) is a plus.
• Experience with CI/CD, Git, DevOps practices, and deployment automation .
• Strong communication skills and ability to explain complex engineering and AI concepts .

Location

DBS Asia Central

Job

Risk Management.

Schedule

Regular

Employee Status

Full time